At the inaugural MIT Future Fest, Tony Fadell displayed a slide with three once-hyped but now-discontinued AI devices: the Rabbit R1, the Humane Ai Pin, and the Limitless pendant. "These were kind of the ‘Gen 1’ AI products, and because of my background, these companies called me and asked me to help them," Fadell said. "I didn’t."
Fadell’s advice is sought because of his track record: he is widely credited as the "father of the iPod," a co-creator of the iPhone, and the founder of Nest, the smart thermostat company acquired by Google. He argued that the early consumer AI gadgets failed largely because they didn’t address real user needs.
"You have to really understand what you’re trying to do, what pain you’re trying to solve," he said. "In each of these cases, each one of them didn’t meet any kind of need — it was just interesting technology for geeks, and you’re like, 'Okay, that’s neat, but it doesn’t really apply to my life.'"
Fadell also noted that most people have little experience with personal assistants. He estimated that less than 0.01% of the world’s population has ever had a human assistant do anything for them, meaning demand for an "assistant" often reflects the expectations of a tiny subset of users who already use human help. Most consumers, he said, don’t really know what an assistant would mean for their lives or how they would learn to trust one.
Building that trust takes time. Fadell described how it took him years to learn how to use an assistant effectively and to trust them with highly sensitive tasks like scheduling meetings and interacting with his bank: "It took me a couple of years first to understand how best to utilize [an assistant], and then to trust them with the most sensitive data, and have them be an agent where they’re setting up meetings with people and working with my bank." He warned that many steps remain before general consumers and ordinary businesses will accept personal AI agents.
Security concerns make the problem even harder. Fadell pointed to Meta’s recent Muse assistant: a security researcher quickly found a serious vulnerability in Muse after launch, and a 404 Media report said some Meta employees discovered security issues that triggered a "mad dash" by multiple teams to fix them before launch.
"Trust and safety are going to be paramount with anything that we turn over to some kind of intelligence," Fadell said. He added that, in his view, Apple might be one of the few companies currently capable of delivering a trusted agent: "The only company I could see right now — maybe one other — is Apple who could do this. Apple has all the hardware, they have all the chips, they have all the pieces, but they don’t have all the AI stuff."
Fadell expects a successful AI assistant to run on-device to protect privacy and to remain lightweight. He questioned the narrative that centralized data centers will dominate everything: "When you’re hearing all of these things about, 'Oh, data centers are going to conquer the world,' … I don’t believe it. I’ve seen this before. I’ve seen this play out in the internet days and what have you. We have so much power on the device now, and even more compute, and they’re still battery operated."
Keeping sensitive data on the device rather than routing it through the cloud is part of why consumers have trusted features like Face ID. Fadell observed that Apple has comparatively more goodwill from consumers on privacy issues, but noted that Apple does not yet have a world-class proprietary AI model: the new Siri AI runs on custom-built versions of Google’s Gemini.
While Apple is strong in hardware, Fadell suggested the reason companies such as Meta and OpenAI are exploring dedicated gadgets is they lack access to the billions of sensors Apple has in users’ pockets. Those companies, he said, build devices with sensors and then pair them with phones via Bluetooth or Wi‑Fi or back them up to the web over 5G to collect the needed data — which can quickly become a long list of permissions.
Asked about luck in finding product–market fit, Fadell noted that startups have far less margin for error than established firms: "Because it’s a startup, you get one shot," he quipped. "It’s not like Apple with the Vision Pro."
In sum, Fadell argued the failure of first-generation consumer AI gadgets stemmed from not solving real problems and from lacking user trust and security. He believes the next successful wave of personal AI assistants will emphasize on-device operation, strict data protection, and companies that can combine strong hardware and privacy credibility to earn users’ confidence.
